blender learning

Original: Image classification in 5 Methodshttps://medium.com/towards-data-science/image-classification-in-5-methods-83742aeb3645 Image classification, as the name suggests, is an input image, output to the image content classification of the problem. It is the core of computer vision, which is widely used in practice. The traditional method of image classification is feature description and detection, such traditional methods may be effective for some simple image classification, but the tradit

Transferred from: http://blog.csdn.net/zouxy09/article/details/8775488 Because we want to learn the characteristics of the expression, then about the characteristics, or about this level of characteristics, we need to understand more in-depth point. So before we say deep learning, we need to re-talk about the characteristics (hehe, actually see so good interpretation of the characteristics, not put here a little pity, so it was stuffed here). Iv. Abo

Transferred from: http://blog.csdn.net/zouxy09/article/details/8775518 Well, to this step, finally can talk to deep learning. Above we talk about why there are deep learning (let the machine automatically learn good features, and eliminate the manual selection process. As well as a hierarchical visual processing system for reference people, we get a conclusion that deep

TensorFlowTensorFlow is Google's second generation of AI learning systems based on Distbelief, whose name comes from its own operating principles. Tensor (tensor) means n-dimensional arrays, flow (stream) means the computation based on data flow diagram, TensorFlow flows from one end of the flow graph to the other. TensorFlow is a system that transmits complex data structures to artificial neural networks for analysis and processing. TensorFlow can be

When I was thinking about writing this article, I suddenly thought that I had some experience in game programming in college over the past few years. So I wrote this article, this section describes the tickets and source code references of game programmers in my eyes. First, it serves as a memorandum of understanding about your learning objectives for the next two years. Second, it may be of reference value to others. My principle is to write only the

I think that when I wrote this article to read Mr. Hou Jie's "Let's get down to MFC", I suddenly felt that I had some experience in game programming in the past few years in college, so I wrote this article, this section describes the tickets and source code references of game programmers in my eyes. First, it serves as a memorandum of understanding about your learning objectives for the next two years. Second, it may be of reference value to others.

Deep Learning (depth learning) Learning notes finishing Series[Email protected]Http://blog.csdn.net/zouxy09ZouxyVersion 1.0 2013-04-08Statement:1) The Deep Learning Learning Series is a collection of information from the online very big Daniel and the machine

Learning the learning notes series of OpenCV-Environment configuration 2, opencv learning notes To learn OpenCV well, you must first know how to configure the environment. Take your own configuration environment as an example. The steps are as follows. Step 1 download and decompress the OpenCV source code Although many third-party websites and some

: How do I check out a branch from GitHub?Plan 5:git Tools How to use————————————————————————Attention:1. Every time you meet a new plan, you should not immediately go into the planning of learning, because these problems are often very complex to learn, and its learning as much as the spring Web site, such as learning git tools, you can not spring has not been t

Deep Learning (depth learning) Learning notes finishing Series[Email protected]Http://blog.csdn.net/zouxy09ZouxyVersion 1.0 2013-04-08Statement:1) The Deep Learning Learning Series is a collection of information from the online very big Daniel and the machine

The last three weeks of Andrew Ng's machine learning were recently followed by the linear regression (Linear Regression) and logistic regression (logistic Regression) models in machines learning. Make a note here.Also recommended a statistical study of the book, "Statistical Learning method" Hangyuan Li, Book short, only 200 pages, but the content is basically co

The method of Ascension is to start from the weak learning algorithm, to learn, to get a series of weak classifier (basic classifier), and then combine these weak classifiers, build a strong classifier. Most of the lifting methods change the probability distribution (weight distribution) of training data, call the weak learning algorithm according to different training data distribution, and learn a series

What is integrated learning, in a word, heads the top of Zhuge Liang. In the performance of classification, multiple weak classifier combinations become strong classifiers. In a word, it is assumed that there are some differences between the weak classifiers (such as different algorithms, or different parameters of the same algorithm), which results in different classification decision boundaries, which means that they make different mistakes when ma

theoretical knowledge : UFLDL data preprocessing and http://www.cnblogs.com/tornadomeet/archive/2013/04/20/3033149.htmlData preprocessing is a very important step in deep learning! If the acquisition of raw data is the most important step in deep learning, then the preprocessing of the raw data is an important part of it.1. Methods of data preprocessing :① Data Normalization :Simple Scaling : Re-adjusts the

[Web Development Learning Notes] Hibernate learning summary, learning notes hibernateHibernate learning notes part: This part of learning is easier, the code is more comprehensive, and easy to understand. It can be said that it is something of a memory nature. I did not take

Learning notes for "Machine Learning Practice": two application scenarios of k-Nearest Neighbor algorithms, and "Machine Learning Practice" k- After learning the implementation of the k-Nearest Neighbor Algorithm, I tested the k-Nearest Neighbor Algorithm by referring to the examples in machine

My Python self-learning Path 1: Python learning path and python self-learning path As a hacker, when learning Python, he will inevitably take some detours. Some people may lose themselves in the detours and others may get out of the detours. I am not a member of the company, so I want to talk about how to learn Python

Ios learning notes --- ios learning route, ios learning notes --- ios Complete ios learning route Images downloaded from the internet I am not a big bull. I write a blog to record my learning process. This is not an entry-level lea